This paper shows a state-of-the-art of facial recognition with reliable algorithms more particularly with Viola and Jones contributions based on the use of Haar-like features suited to temporal constraints of rail drive. Estimations of eyes and mouth positions are provided in relation to face. The operations are done on pixels of those pictures in order to determine the blinking and the yawns betraying a sleepiness of the operator. The definition of neutral and surprise emotions corresponding respectively to normal or degraded situation permits to test the algorithms.
Diagnosis of human operator behaviour in case of train driving: interest of facial recognition